Keith W. Henderson

Statistical and Nonlinear Physics · 2011–2012

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Keith W. Henderson trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Brian Gallagher
  2. Leman Akoglu
  3. Sofus A. Macskassy
  4. Mark Newman
  5. Ian H. Witten
  6. Hirotogu Akaike
  7. Hagen Fürstenau
  8. Christos Faloutsos
  9. Deng Cai
  10. Jason Aaron Edward Weston

Who trusts Keith W. Henderson overall

  1. Bryan Perozzi
  2. Juzheng Li
  3. Leman Akoglu
  4. Claire Donnat
  5. Leonardo F. R. Ribeiro
  6. Jure Leskovec
  7. Linhong Zhu
  8. Aditya Grover
  9. Hanghang Tong
  10. Jiezhong Qiu

Papers from Keith W. Henderson's perspective

Ordered by how strongly the researchers Keith W. Henderson trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers